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• 1. Provincial differences in high school achievement: Do schools matter? Archived

  Articles and reports: 11-522-X20020016740

  Geography: Province or territory

  Description:

  Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

  Release date: 2004-09-13

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• 2. User Guide - Survey of Household Spending, 2000 Archived

  Surveys and statistical programs – Documentation: 62F0026M2001004

  Geography: Province or territory

  Description:

  This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

  This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

  Release date: 2001-12-12

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• 1. Provincial differences in high school achievement: Do schools matter? Archived

  Articles and reports: 11-522-X20020016740

  Geography: Province or territory

  Description:

  Controlling for differences in student populations, we examine the contribution of schools to provincial differences in the reading, math and science achievement of 15-year-olds in this paper. Using a semi-parametric decomposition technique developed by DiNardo, Fortin and Lemieux (1996) for differences in distributions, we find that school differences contribute to provincial differences in different parts of the achievement distribution and that the effect varies by province and by type of skill, even within province. For example, school differences account for about 32% of the difference in mean reading achievement between New Brunswick and Alberta, but reduce the difference in the proportion of students performing at the lowest reading proficiency level. By contrast, school differences account for 94% of the New Brunswick-Alberta gap in the 10th percentile of the science distribution. Our results demonstrate that school effectiveness studies that focus on the first moment of the achievement distribution miss potentially important impacts for specific students.

  Release date: 2004-09-13

Reference (1) ((1 result))

• 1. User Guide - Survey of Household Spending, 2000 Archived

  Surveys and statistical programs – Documentation: 62F0026M2001004

  Geography: Province or territory

  Description:

  This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces. (The three territories are surveyed every second year starting in 2001.)

  This guide includes definitions of survey terms and variables, as well as descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

  Release date: 2001-12-12